Full Stack AI Developer
3 days ago
Hiring Full Stack AI / Conversational AI Developer
Location: Gachibowli, Hyderabad - Onsite
Full Time – Shifts PM IST)
Notice: Should be 30 days or less
Pay Scale: As per Market Standard
Experience: 2 to 6Yrs
(Client handling experience is required )
About the Job
Pronix Inc. is seeking a highly skilled
AI FullStack Developer
to design, develop, and implement
enterprise-grade Conversational AI and Generative AI solutions
. The ideal candidate will have
hands-on development expertise
in at least one of the leading
AI platforms
such as
, Amazon Lex, Azure AI, IBM WatsonEx, , Google Dialogflow
, along with experience in
business use case development, solution design, AI automation, REST API Integration, LLM Integration, Prompt Engineering, Model Tuning, AI Agents Development.
Required Qualifications:
- Hands-on experience
with at least one
enterprise AI platforms such as , Amazon Lex, Azure AI, IBM Watson Assistant, Google Dialogflow, Rasa, Botpress. - Experience with AI Agents, Chatbots, Virtual Assistants, and Search AI.
- Expertise in N
LP, Large Language Models (LLMs), RAG, and Prompt Engineering
for AI-powered automation. - Experience in
enterprise application development
and
AI workflow automation. - Strong
programming skills
in
JavaScript (React, Angular, ), Java, Python, or
. - Experience in
REST API development and API integration
. - Strong analytical, problem-solving, and troubleshooting skills.
Preferred Qualifications:
- Experience with
AI/ML model training and fine-tuning
. - Knowledge of
cloud services (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes). - Understanding of
AI security, data privacy, and ethical AI practices
. - Prior experience in
enterprise AI implementations for CX/EX automation
.
Key Responsibilities:
- Conversational & Generative AI Development: Design, develop, and deploy AI-powered chatbots, virtual assistants, AI agents, AI voice assistants, and Search AI for enterprise applications.
- Enterprise AI Platform Expertise: Hands-on development using one or more AI platforms (
, Amazon Lex, Azure AI, Google Dialogflow, IBM WatsonEx,
). - Solution Design & AI Architecture: Architect AI-powered solutions, integrating NLP, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering for scalable enterprise applications.
- Full-Stack Development:
- Frontend: Develop user-friendly interfaces using JavaScript frameworks (
React, Angular, , etc
.). - Backend: Build scalable APIs and services using
Java, Python,
or
- API Development & Integration
: Implement REST API integration and custom API development to connect AI services with enterprise applications. - LLM Integration & AI Workflows: Implement AI-driven automation workflows, fine-tune LLMs, optimize AI training models, and integrate AI solutions with business processes.
- Search AI & Knowledge Management: Develop AI-powered search and knowledge retrieval systems for enterprise-scale automation.
- AI Automation & Enterprise Implementation: Deploy AI-driven automation solutions across business functions, enhancing customer experience (CX) and employee experience (EX).
- Testing & Optimization: Continuously test, fine-tune, and improve AI applications for performance, accuracy, and reliability in real-world enterprise environments.
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